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Lanre Lawal's Projects

23f_spain_eda_sna_groupwork_pythonr icon 23f_spain_eda_sna_groupwork_pythonr

In this SNA project, we thought that it would be a great idea to conduct an NLP tweets text analysis regarding the 23F in Spain. The 23rd of February of 1981 also known as 23-F or the “Tejerazo” was an attempt of coupd’etat performed by Lieutenant-Colonel Antonio Tejero and 200 armed Civil Guard officers who broke into the Congress of Deputies duri

abalones_age_prediction icon abalones_age_prediction

Predicting age of Abalone from physical measurements using various statistical and machine learning techniques

agroharvest icon agroharvest

A useful tool which recommends which type of crop to be grown based on certain aspects like Temperature,Humidity,Rainfall,etc among others.

amil icon amil

Um assistente para gerar mapas interativos no navegador utilizando Leaflet.

ampligraph icon ampligraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

asistente-ladm-col icon asistente-ladm-col

Complemento para QGIS v3 que permite capturar, consultar, mantener, validar y exportar datos conformes con el modelo LADM-COL.

avinashak-crime-prediction icon avinashak-crime-prediction

Avinashak is a crime prediction and detection algorithm which uses A.I techniques to predict the location,time and type of the crime in future.

bdi_inla icon bdi_inla

An Introduction to Spatial Analysis using INLA

blockvotes icon blockvotes

An e-voting system based on blockchain using ring signature

caline4 icon caline4

California highway emissions dispersal model

cdr-generator icon cdr-generator

Call detail records (cdr) generator based on a real-world telecommunications dataset.

co2-data icon co2-data

Data on CO2 and greenhouse gas emissions by Our World in Data

code icon code

SOLA Code repository. Super repository for SOLA.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

covid-mobile-data icon covid-mobile-data

The COVID19 Mobility Task Force will use data from Mobile Network Operators (MNOs) to support data-poor countries with analytics on mobility to inform mitigation policies for preventing the spread of COVID-19

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